Google’s Gemini Intelligence aims to revolutionize Android AI experiences but sets strict hardware and software criteria, meaning even some newest flagship phones, including those from Google and Samsung, may not qualify at launch.
- Requires flagship-grade chipset and 12GB+ RAM
- Must support Gemini Nano v3 and AI Core
- Demands long-term OS upgrades and security patches
What happened
Google has introduced Gemini Intelligence, a new AI platform aimed at delivering cutting-edge AI functionalities on Android devices. It was prominently featured at a recent Android Show and is set to debut on upcoming flagship foldable and premium smartphones.
However, this platform imposes strict requirements on compatible devices. Phones must have a flagship-level chipset, at least 12GB of RAM, and specific AI hardware and software support, such as Gemini Nano version 3 or newer. Even some recent flagship phones, including Google's Pixel 9 series and Samsung’s Galaxy Z Fold 7, do not currently meet these standards.
Why it matters
The high entry bar for Gemini Intelligence means that many high-end phones, even some just released, will not support this advanced AI feature immediately. This could affect consumer expectations and device purchasing decisions, especially for users seeking advanced AI capabilities on their smartphones.
Additionally, the platform’s requirements extend beyond hardware to software longevity, mandating at least five Android OS upgrades and six years of security patch support. This emphasizes Google’s push for long-term device support but narrows the range of eligible phones due to these rigorous standards.
What to watch next
Google will expand Gemini Intelligence support across more flagship devices throughout 2026, including models like the Pixel 10 series and Oppo's Find X9 lineup, which are expected to be designed with these criteria in mind from the start.
There remains some uncertainty over whether older devices might gain support later through software updates, especially since Google’s documentation focuses on APIs rather than explicit device exclusions. Tracking firmware updates and official announcements will clarify the full scope of Gemini Intelligence availability.